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Does a case study page help AI recommend you?

Case study pages are one of the more underrated AI-visibility assets because they give a model exactly what it looks for when deciding whether to name you: concrete, specific, quotable evidence of what you do, who you did it for, and what changed. Where a services page makes claims, a case study supplies particulars — the client type, the problem, the approach, and a real outcome — and specifics are far easier for an assistant to lift into an answer than vague marketing language. A good case study page also deepens your entity signals: it ties your business to named industries, use cases and results, which helps a model understand your category and match you to the right question. To count, it has to be crawlable, written in plain answer-ready prose rather than a gated PDF, and honest — invented numbers are a credibility risk, and models increasingly cross-check. The move is to publish real, specific case studies as indexable pages, lead with the outcome and the context, and let the detail make you the quotable choice.

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FAQ

Why are case studies good for AI visibility specifically?Because they give a model concrete, quotable specifics — client type, problem, approach, outcome — which are far easier to lift into an answer than vague services copy, and they strengthen your entity signals by tying you to named industries and use cases.
What makes a case study page actually count?Publish it as a crawlable, indexable page (not a gated PDF), write it in plain answer-ready prose, lead with the context and outcome, and keep every detail honest — invented numbers are a credibility risk models increasingly cross-check.
How do I check if my proof pages are readable by AI?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.

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